mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-06 12:37:33 +00:00
feat(tests): introduce inference record/replay to increase test reliability (#2941)
Implements a comprehensive recording and replay system for inference API calls that eliminates dependency on online inference providers during testing. The system treats inference as deterministic by recording real API responses and replaying them in subsequent test runs. Applies to OpenAI clients (which should cover many inference requests) as well as Ollama AsyncClient. For storing, we use a hybrid system: Sqlite for fast lookups and JSON files for easy greppability / debuggability. As expected, tests become much much faster (more than 3x in just inference testing.) ```bash LLAMA_STACK_TEST_INFERENCE_MODE=record LLAMA_STACK_TEST_RECORDING_DIR=<...> \ uv run pytest -s -v tests/integration/inference \ --stack-config=starter \ -k "not( builtin_tool or safety_with_image or code_interpreter or test_rag )" \ --text-model="ollama/llama3.2:3b-instruct-fp16" \ --embedding-model=sentence-transformers/all-MiniLM-L6-v2 ``` ```bash LLAMA_STACK_TEST_INFERENCE_MODE=replay LLAMA_STACK_TEST_RECORDING_DIR=<...> \ uv run pytest -s -v tests/integration/inference \ --stack-config=starter \ -k "not( builtin_tool or safety_with_image or code_interpreter or test_rag )" \ --text-model="ollama/llama3.2:3b-instruct-fp16" \ --embedding-model=sentence-transformers/all-MiniLM-L6-v2 ``` - `LLAMA_STACK_TEST_INFERENCE_MODE`: `live` (default), `record`, or `replay` - `LLAMA_STACK_TEST_RECORDING_DIR`: Storage location (must be specified for record or replay modes)
This commit is contained in:
Ashwin Bharambe
GitHub
parent
abf1d6a703
commit
08b4a1deb3
33 changed files with 9880 additions and 2 deletions
BIN
tests/integration/inference/recordings/index.sqlite
Normal file
BIN
tests/integration/inference/recordings/index.sqlite
Normal file
Binary file not shown.
|
|
@ -0,0 +1,284 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "What's the name of the Sun in latin?"
|
||||
}
|
||||
],
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "The",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " Latin",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " word",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " for",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " the",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " Sun",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " is",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " Sol",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": ".",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-471",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814881,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,41 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"prompt": "<|begin_of_text|>Complete the sentence using one word: Roses are red, violets are ",
|
||||
"raw": true,
|
||||
"options": {
|
||||
"temperature": 0.0,
|
||||
"max_tokens": 50,
|
||||
"num_predict": 50
|
||||
},
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.383192Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 2393598000,
|
||||
"load_duration": 90501917,
|
||||
"prompt_eval_count": 18,
|
||||
"prompt_eval_duration": 545025792,
|
||||
"eval_count": 43,
|
||||
"eval_duration": 1756031208,
|
||||
"response": " _______.\n\nThe best answer is blue. The traditional nursery rhyme goes like this:\n\nRoses are red,\nViolets are blue,\nSugar is sweet,\nAnd so are you! (Or something similar.)",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,39 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhich planet do humans live on?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.108049Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 334746667,
|
||||
"load_duration": 55090709,
|
||||
"prompt_eval_count": 23,
|
||||
"prompt_eval_duration": 74557791,
|
||||
"eval_count": 6,
|
||||
"eval_duration": 204410292,
|
||||
"response": "Humans live on Earth.",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,544 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "What is the name of the US captial?"
|
||||
}
|
||||
],
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "The",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " capital",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " of",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " the",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " United",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " States",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " is",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " Washington",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": ",",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " D",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": ".C",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": ".",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " (",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "short",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " for",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " District",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " of",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " Columbia",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": ").",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-850",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814885,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,84 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "What's the weather in Tokyo? Use the get_weather function to get the weather."
|
||||
}
|
||||
],
|
||||
"stream": false,
|
||||
"tools": [
|
||||
{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "get_weather",
|
||||
"description": "Get the weather in a given city",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"city": {
|
||||
"type": "string",
|
||||
"description": "The city to get the weather for"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-331",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "tool_calls",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": null,
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": [
|
||||
{
|
||||
"id": "call_za2swdo9",
|
||||
"function": {
|
||||
"arguments": "{\"city\":\"Tokyo\"}",
|
||||
"name": "get_weather"
|
||||
},
|
||||
"type": "function",
|
||||
"index": 0
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
],
|
||||
"created": 1753814888,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 18,
|
||||
"prompt_tokens": 177,
|
||||
"total_tokens": 195,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,22 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/pull",
|
||||
"headers": {},
|
||||
"body": {},
|
||||
"endpoint": "/api/pull",
|
||||
"model": ""
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.ProgressResponse",
|
||||
"__data__": {
|
||||
"status": "success",
|
||||
"completed": null,
|
||||
"total": null,
|
||||
"digest": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,221 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat's the name of the Sun in latin?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.322498Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "The",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.366077Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " Latin",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.408909Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " word",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.451051Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " for",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.492622Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " \"",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.534265Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "Sun",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.576141Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "\"",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.617693Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " is",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.658779Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " Sol",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.699936Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ".",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:29.74208Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 570982833,
|
||||
"load_duration": 78768458,
|
||||
"prompt_eval_count": 26,
|
||||
"prompt_eval_duration": 69632083,
|
||||
"eval_count": 11,
|
||||
"eval_duration": 421479000,
|
||||
"response": "",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,104 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "What's the weather in Tokyo? Use the get_weather function to get the weather."
|
||||
}
|
||||
],
|
||||
"stream": true,
|
||||
"tools": [
|
||||
{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "get_weather",
|
||||
"description": "Get the weather in a given city",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"city": {
|
||||
"type": "string",
|
||||
"description": "The city to get the weather for"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-448",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_esyvjxp3",
|
||||
"function": {
|
||||
"arguments": "{\"city\":\"Tokyo\"}",
|
||||
"name": "get_weather"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814883,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-448",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": "tool_calls",
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814883,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,221 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_weather\",\n \"description\": \"Get the current weather\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"location\"],\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The city and state (both required), e.g. San Francisco, CA.\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nPretend you are a weather assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat's the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.070599Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "[",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.112828Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "get",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.154976Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "_weather",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.197203Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "(location",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.239672Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "=\"",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.281331Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "San",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.323134Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " Francisco",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.364766Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ",",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.406481Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " CA",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.448383Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "\")]",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.490154Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 531176667,
|
||||
"load_duration": 65048792,
|
||||
"prompt_eval_count": 324,
|
||||
"prompt_eval_duration": 44536417,
|
||||
"eval_count": 11,
|
||||
"eval_duration": 420819750,
|
||||
"response": "",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,86 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. Michael Jordan was born in 1963. He played basketball for the Chicago Bulls for 15 seasons.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nPlease give me information about Michael Jordan.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nPlease respond in JSON format with the schema: {\"$defs\": {\"NBAStats\": {\"properties\": {\"year_for_draft\": {\"title\": \"Year For Draft\", \"type\": \"integer\"}, \"num_seasons_in_nba\": {\"title\": \"Num Seasons In Nba\", \"type\": \"integer\"}}, \"required\": [\"year_for_draft\", \"num_seasons_in_nba\"], \"title\": \"NBAStats\", \"type\": \"object\"}}, \"properties\": {\"first_name\": {\"title\": \"First Name\", \"type\": \"string\"}, \"last_name\": {\"title\": \"Last Name\", \"type\": \"string\"}, \"year_of_birth\": {\"title\": \"Year Of Birth\", \"type\": \"integer\"}, \"nba_stats\": {\"$ref\": \"#/$defs/NBAStats\"}}, \"required\": [\"first_name\", \"last_name\", \"year_of_birth\", \"nba_stats\"], \"title\": \"AnswerFormat\", \"type\": \"object\"}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"format": {
|
||||
"$defs": {
|
||||
"NBAStats": {
|
||||
"properties": {
|
||||
"year_for_draft": {
|
||||
"title": "Year For Draft",
|
||||
"type": "integer"
|
||||
},
|
||||
"num_seasons_in_nba": {
|
||||
"title": "Num Seasons In Nba",
|
||||
"type": "integer"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"year_for_draft",
|
||||
"num_seasons_in_nba"
|
||||
],
|
||||
"title": "NBAStats",
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
"properties": {
|
||||
"first_name": {
|
||||
"title": "First Name",
|
||||
"type": "string"
|
||||
},
|
||||
"last_name": {
|
||||
"title": "Last Name",
|
||||
"type": "string"
|
||||
},
|
||||
"year_of_birth": {
|
||||
"title": "Year Of Birth",
|
||||
"type": "integer"
|
||||
},
|
||||
"nba_stats": {
|
||||
"$ref": "#/$defs/NBAStats"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"first_name",
|
||||
"last_name",
|
||||
"year_of_birth",
|
||||
"nba_stats"
|
||||
],
|
||||
"title": "AnswerFormat",
|
||||
"type": "object"
|
||||
},
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:48.260787Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 3136253292,
|
||||
"load_duration": 81917125,
|
||||
"prompt_eval_count": 259,
|
||||
"prompt_eval_duration": 540110750,
|
||||
"eval_count": 60,
|
||||
"eval_duration": 2513196708,
|
||||
"response": "{\n \"first_name\": \"Michael\",\n \"last_name\": \"Jordan\",\n \"year_of_birth\": 1963,\n \"nba_stats\": {\n \"year_for_draft\": 1984,\n \"num_seasons_in_nba\": 15\n }\n}",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,132 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/tags",
|
||||
"headers": {},
|
||||
"body": {},
|
||||
"endpoint": "/api/tags",
|
||||
"model": ""
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.ListResponse",
|
||||
"__data__": {
|
||||
"models": [
|
||||
{
|
||||
"model": "nomic-embed-text:latest",
|
||||
"modified_at": "2025-07-29T11:45:57.155575-07:00",
|
||||
"digest": "0a109f422b47e3a30ba2b10eca18548e944e8a23073ee3f3e947efcf3c45e59f",
|
||||
"size": 274302450,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "nomic-bert",
|
||||
"families": [
|
||||
"nomic-bert"
|
||||
],
|
||||
"parameter_size": "137M",
|
||||
"quantization_level": "F16"
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "llama-guard3:1b",
|
||||
"modified_at": "2025-07-25T14:39:44.978630-07:00",
|
||||
"digest": "494147e06bf99e10dbe67b63a07ac81c162f18ef3341aa3390007ac828571b3b",
|
||||
"size": 1600181919,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "llama",
|
||||
"families": [
|
||||
"llama"
|
||||
],
|
||||
"parameter_size": "1.5B",
|
||||
"quantization_level": "Q8_0"
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "all-minilm:l6-v2",
|
||||
"modified_at": "2025-07-24T15:15:11.129290-07:00",
|
||||
"digest": "1b226e2802dbb772b5fc32a58f103ca1804ef7501331012de126ab22f67475ef",
|
||||
"size": 45960996,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "bert",
|
||||
"families": [
|
||||
"bert"
|
||||
],
|
||||
"parameter_size": "23M",
|
||||
"quantization_level": "F16"
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "llama3.2:1b",
|
||||
"modified_at": "2025-07-17T22:02:24.953208-07:00",
|
||||
"digest": "baf6a787fdffd633537aa2eb51cfd54cb93ff08e28040095462bb63daf552878",
|
||||
"size": 1321098329,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "llama",
|
||||
"families": [
|
||||
"llama"
|
||||
],
|
||||
"parameter_size": "1.2B",
|
||||
"quantization_level": "Q8_0"
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "all-minilm:latest",
|
||||
"modified_at": "2025-06-03T16:50:10.946583-07:00",
|
||||
"digest": "1b226e2802dbb772b5fc32a58f103ca1804ef7501331012de126ab22f67475ef",
|
||||
"size": 45960996,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "bert",
|
||||
"families": [
|
||||
"bert"
|
||||
],
|
||||
"parameter_size": "23M",
|
||||
"quantization_level": "F16"
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "llama3.2:3b",
|
||||
"modified_at": "2025-05-01T11:15:23.797447-07:00",
|
||||
"digest": "a80c4f17acd55265feec403c7aef86be0c25983ab279d83f3bcd3abbcb5b8b72",
|
||||
"size": 2019393189,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "llama",
|
||||
"families": [
|
||||
"llama"
|
||||
],
|
||||
"parameter_size": "3.2B",
|
||||
"quantization_level": "Q4_K_M"
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"modified_at": "2025-04-30T15:33:48.939665-07:00",
|
||||
"digest": "195a8c01d91ec3cb1e0aad4624a51f2602c51fa7d96110f8ab5a20c84081804d",
|
||||
"size": 6433703586,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "llama",
|
||||
"families": [
|
||||
"llama"
|
||||
],
|
||||
"parameter_size": "3.2B",
|
||||
"quantization_level": "F16"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,383 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat is the name of the US captial?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.509395Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "The",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.561227Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " capital",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.604344Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " of",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.647038Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " the",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.688732Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " United",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.730495Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " States",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.772148Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " is",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.813191Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " Washington",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.85447Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ",",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.896136Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " D",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.937588Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ".C",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.978357Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ".",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.019403Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " (",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.06055Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "short",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.101456Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " for",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.142967Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " District",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.184487Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " of",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.226323Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " Columbia",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.269043Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ").",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:59.311737Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 1014917792,
|
||||
"load_duration": 140789542,
|
||||
"prompt_eval_count": 26,
|
||||
"prompt_eval_duration": 70044833,
|
||||
"eval_count": 20,
|
||||
"eval_duration": 803278042,
|
||||
"response": "",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,39 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhich planet has rings around it with a name starting with letter S?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:58.183439Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 3440514791,
|
||||
"load_duration": 61560708,
|
||||
"prompt_eval_count": 30,
|
||||
"prompt_eval_duration": 92499375,
|
||||
"eval_count": 70,
|
||||
"eval_duration": 3284810375,
|
||||
"response": "The answer is Saturn! Saturn's ring system is one of the most iconic and well-known in our solar system. The rings are made up of ice particles, rock debris, and dust that orbit around the planet due to its gravitational pull.\n\nWould you like to know more about Saturn's rings or is there something else I can help you with?",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,64 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"prompt": "<|begin_of_text|>Michael Jordan was born in 1963. He played basketball for the Chicago Bulls. He retired in 2003.Please respond in JSON format with the schema: {\"properties\": {\"name\": {\"title\": \"Name\", \"type\": \"string\"}, \"year_born\": {\"title\": \"Year Born\", \"type\": \"string\"}, \"year_retired\": {\"title\": \"Year Retired\", \"type\": \"string\"}}, \"required\": [\"name\", \"year_born\", \"year_retired\"], \"title\": \"AnswerFormat\", \"type\": \"object\"}",
|
||||
"raw": true,
|
||||
"format": {
|
||||
"properties": {
|
||||
"name": {
|
||||
"title": "Name",
|
||||
"type": "string"
|
||||
},
|
||||
"year_born": {
|
||||
"title": "Year Born",
|
||||
"type": "string"
|
||||
},
|
||||
"year_retired": {
|
||||
"title": "Year Retired",
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"name",
|
||||
"year_born",
|
||||
"year_retired"
|
||||
],
|
||||
"title": "AnswerFormat",
|
||||
"type": "object"
|
||||
},
|
||||
"options": {
|
||||
"temperature": 0.0,
|
||||
"max_tokens": 50,
|
||||
"num_predict": 50
|
||||
},
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:28.736819Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 1520367458,
|
||||
"load_duration": 59997042,
|
||||
"prompt_eval_count": 119,
|
||||
"prompt_eval_duration": 198841625,
|
||||
"eval_count": 29,
|
||||
"eval_duration": 1259800500,
|
||||
"response": "{ \"name\": \"Michael Jordan\", \"year_born\": \"1963\", \"year_retired\": \"2003\"}\n ",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,56 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Hello, world!"
|
||||
}
|
||||
],
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-33",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "Hello! Welcome. How can I assist you today?",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": null,
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"created": 1753814886,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 12,
|
||||
"prompt_tokens": 29,
|
||||
"total_tokens": 41,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,989 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"prompt": "Respond to this question and explain your answer. Complete the sentence using one word: Roses are red, violets are ",
|
||||
"max_tokens": 50,
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "Blue"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ".\n\n"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "My"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " response"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " is"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " based"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " on"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " a"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " traditional"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " poem"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " with"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " the"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " first"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " line"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " being"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " \""
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "R"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "oses"
|
||||
}
|
||||
],
|
||||
"created": 1753814831,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " are"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " red"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "\","
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " but"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " in"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " reality"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ","
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " roses"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " come"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " in"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " various"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " colors"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " such"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " as"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " red"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ","
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " pink"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ","
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " yellow"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ","
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " white"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ","
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " and"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " purple"
|
||||
}
|
||||
],
|
||||
"created": 1753814832,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "."
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " V"
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "io"
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "lets"
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ","
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " on"
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " the"
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " other"
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-313",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "length",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": ""
|
||||
}
|
||||
],
|
||||
"created": 1753814833,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,39 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_weather\",\n \"description\": \"Get the current weather\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"location\"],\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The city and state (both required), e.g. San Francisco, CA.\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nPretend you are a weather assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat's the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:30.907069Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 978723208,
|
||||
"load_duration": 82950875,
|
||||
"prompt_eval_count": 324,
|
||||
"prompt_eval_duration": 453827625,
|
||||
"eval_count": 11,
|
||||
"eval_duration": 439485709,
|
||||
"response": "[get_weather(location=\"San Francisco, CA\")]",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,42 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"prompt": "Respond to this question and explain your answer. Complete the sentence using one word: Roses are red, violets are ",
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.completion.Completion",
|
||||
"__data__": {
|
||||
"id": "cmpl-719",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "Blue.\n\nExplanation: This is a classic example of an alliterative poem, often referred to as \"red roses.\" The original phrase, \"Roses are red,\" was actually coined by Ernest Thesiger in 1910 and was followed by the complementary phrase, making the complete sentence a poetic device called an \"alliterative couplet.\""
|
||||
}
|
||||
],
|
||||
"created": 1753814830,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 71,
|
||||
"prompt_tokens": 50,
|
||||
"total_tokens": 121,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,799 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"prompt": "<|begin_of_text|>Complete the sentence using one word: Roses are red, violets are ",
|
||||
"raw": true,
|
||||
"options": {
|
||||
"temperature": 0.0,
|
||||
"max_tokens": 50,
|
||||
"num_predict": 50
|
||||
},
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.599113Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " ______",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.643599Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "_",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.685747Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ".\n\n",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.727604Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "The",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.768014Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " best",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.809356Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " answer",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.850402Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " is",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.891768Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " blue",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.933421Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ".",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:24.976048Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " The",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.016922Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " traditional",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.058091Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " nursery",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.098992Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " rhyme",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.140605Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " goes",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.18202Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " like",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.223443Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " this",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.264829Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ":\n\n",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.306517Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "R",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.347967Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "oses",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.389339Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " are",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.430357Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " red",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.471506Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ",\n",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.512744Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "V",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.55402Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "io",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.595747Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "lets",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.637436Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " are",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.678551Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " blue",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.719904Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ",\n",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.76118Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "Sugar",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.802641Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " is",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.843247Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " sweet",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.88468Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ",\n",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.92653Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "And",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:25.968022Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " so",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.00935Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " are",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.050576Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " you",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.091784Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "!",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.133496Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " (",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.175442Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "Or",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.217044Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " something",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.258582Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " similar",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.300334Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ".)",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:26.341814Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 1862375416,
|
||||
"load_duration": 73039291,
|
||||
"prompt_eval_count": 18,
|
||||
"prompt_eval_duration": 45477667,
|
||||
"eval_count": 43,
|
||||
"eval_duration": 1743432792,
|
||||
"response": "",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,39 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_object_namespace_list\",\n \"description\": \"Get the list of objects in a namespace\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"kind\", \"namespace\"],\n \"properties\": {\n \"kind\": {\n \"type\": \"string\",\n \"description\": \"the type of object\"\n },\n \"namespace\": {\n \"type\": \"string\",\n \"description\": \"the name of the namespace\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nYou are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat pods are in the namespace openshift-lightspeed?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n[get_object_namespace_list(kind=\"pod\", namespace=\"openshift-lightspeed\")]<|eot_id|><|start_header_id|>ipython<|end_header_id|>\n\nthe objects are pod1, pod2, pod3<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:48:00.342705Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 671224833,
|
||||
"load_duration": 82344875,
|
||||
"prompt_eval_count": 386,
|
||||
"prompt_eval_duration": 545215084,
|
||||
"eval_count": 2,
|
||||
"eval_duration": 43112416,
|
||||
"response": "[]",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,56 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Which planet has rings around it with a name starting with letter S?"
|
||||
}
|
||||
],
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-541",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "Saturn is the planet that has rings around itself.",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": null,
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"created": 1753814884,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 12,
|
||||
"prompt_tokens": 39,
|
||||
"total_tokens": 51,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,284 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Hello, world!"
|
||||
}
|
||||
],
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "Hello",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "!",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " How",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " can",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " I",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " help",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " you",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " today",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "?",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-528",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 1753814882,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,56 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Which planet do humans live on?"
|
||||
}
|
||||
],
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-4",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "Humans live on Earth.",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": null,
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"created": 1753814880,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 6,
|
||||
"prompt_tokens": 32,
|
||||
"total_tokens": 38,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,221 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_weather\",\n \"description\": \"Get the current weather\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"location\"],\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The city and state (both required), e.g. San Francisco, CA.\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nPretend you are a weather assistant.\nYou MUST use one of the provided functions/tools to answer the user query.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat's the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.891582Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "[",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.939133Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "get",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:31.985171Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "_weather",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.030448Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "(location",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.075659Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "=\"",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.123939Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "San",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.169545Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " Francisco",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.214044Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": ",",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.259104Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": " CA",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.306215Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "\")]",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:32.351121Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 641307458,
|
||||
"load_duration": 70513916,
|
||||
"prompt_eval_count": 339,
|
||||
"prompt_eval_duration": 106020875,
|
||||
"eval_count": 11,
|
||||
"eval_duration": 464057250,
|
||||
"response": "",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
4145
tests/integration/inference/recordings/responses/bbd0637dce16.json
Normal file
4145
tests/integration/inference/recordings/responses/bbd0637dce16.json
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -0,0 +1,38 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/ps",
|
||||
"headers": {},
|
||||
"body": {},
|
||||
"endpoint": "/api/ps",
|
||||
"model": ""
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "ollama._types.ProcessResponse",
|
||||
"__data__": {
|
||||
"models": [
|
||||
{
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"name": "llama3.2:3b-instruct-fp16",
|
||||
"digest": "195a8c01d91ec3cb1e0aad4624a51f2602c51fa7d96110f8ab5a20c84081804d",
|
||||
"expires_at": "2025-07-29T11:53:06.458806-07:00",
|
||||
"size": 8581748736,
|
||||
"size_vram": 8581748736,
|
||||
"details": {
|
||||
"parent_model": "",
|
||||
"format": "gguf",
|
||||
"family": "llama",
|
||||
"families": [
|
||||
"llama"
|
||||
],
|
||||
"parameter_size": "3.2B",
|
||||
"quantization_level": "F16"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,59 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/api/generate",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"raw": true,
|
||||
"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_object_namespace_list\",\n \"description\": \"Get the list of objects in a namespace\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"kind\", \"namespace\"],\n \"properties\": {\n \"kind\": {\n \"type\": \"string\",\n \"description\": \"the type of object\"\n },\n \"namespace\": {\n \"type\": \"string\",\n \"description\": \"the name of the namespace\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nYou are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat pods are in the namespace openshift-lightspeed?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n[get_object_namespace_list(kind=\"pod\", namespace=\"openshift-lightspeed\")]<|eot_id|><|start_header_id|>ipython<|end_header_id|>\n\nthe objects are pod1, pod2, pod3<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
||||
"temperature": 0.0
|
||||
},
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:48.95435Z",
|
||||
"done": false,
|
||||
"done_reason": null,
|
||||
"total_duration": null,
|
||||
"load_duration": null,
|
||||
"prompt_eval_count": null,
|
||||
"prompt_eval_duration": null,
|
||||
"eval_count": null,
|
||||
"eval_duration": null,
|
||||
"response": "[]",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:48.996247Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 667274458,
|
||||
"load_duration": 80712750,
|
||||
"prompt_eval_count": 386,
|
||||
"prompt_eval_duration": 543388792,
|
||||
"eval_count": 2,
|
||||
"eval_duration": 42471125,
|
||||
"response": "",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
291
tests/unit/distribution/test_inference_recordings.py
Normal file
291
tests/unit/distribution/test_inference_recordings.py
Normal file
|
|
@ -0,0 +1,291 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
import sqlite3
|
||||
import tempfile
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
from openai import AsyncOpenAI
|
||||
|
||||
# Import the real Pydantic response types instead of using Mocks
|
||||
from llama_stack.apis.inference import (
|
||||
OpenAIAssistantMessageParam,
|
||||
OpenAIChatCompletion,
|
||||
OpenAIChoice,
|
||||
OpenAIEmbeddingData,
|
||||
OpenAIEmbeddingsResponse,
|
||||
OpenAIEmbeddingUsage,
|
||||
)
|
||||
from llama_stack.testing.inference_recorder import (
|
||||
InferenceMode,
|
||||
ResponseStorage,
|
||||
inference_recording,
|
||||
normalize_request,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def temp_storage_dir():
|
||||
"""Create a temporary directory for test recordings."""
|
||||
with tempfile.TemporaryDirectory() as temp_dir:
|
||||
yield Path(temp_dir)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def real_openai_chat_response():
|
||||
"""Real OpenAI chat completion response using proper Pydantic objects."""
|
||||
return OpenAIChatCompletion(
|
||||
id="chatcmpl-test123",
|
||||
choices=[
|
||||
OpenAIChoice(
|
||||
index=0,
|
||||
message=OpenAIAssistantMessageParam(
|
||||
role="assistant", content="Hello! I'm doing well, thank you for asking."
|
||||
),
|
||||
finish_reason="stop",
|
||||
)
|
||||
],
|
||||
created=1234567890,
|
||||
model="llama3.2:3b",
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def real_embeddings_response():
|
||||
"""Real OpenAI embeddings response using proper Pydantic objects."""
|
||||
return OpenAIEmbeddingsResponse(
|
||||
object="list",
|
||||
data=[
|
||||
OpenAIEmbeddingData(object="embedding", embedding=[0.1, 0.2, 0.3], index=0),
|
||||
OpenAIEmbeddingData(object="embedding", embedding=[0.4, 0.5, 0.6], index=1),
|
||||
],
|
||||
model="nomic-embed-text",
|
||||
usage=OpenAIEmbeddingUsage(prompt_tokens=6, total_tokens=6),
|
||||
)
|
||||
|
||||
|
||||
class TestInferenceRecording:
|
||||
"""Test the inference recording system."""
|
||||
|
||||
def test_request_normalization(self):
|
||||
"""Test that request normalization produces consistent hashes."""
|
||||
# Test basic normalization
|
||||
hash1 = normalize_request(
|
||||
"POST",
|
||||
"http://localhost:11434/v1/chat/completions",
|
||||
{},
|
||||
{"model": "llama3.2:3b", "messages": [{"role": "user", "content": "Hello world"}], "temperature": 0.7},
|
||||
)
|
||||
|
||||
# Same request should produce same hash
|
||||
hash2 = normalize_request(
|
||||
"POST",
|
||||
"http://localhost:11434/v1/chat/completions",
|
||||
{},
|
||||
{"model": "llama3.2:3b", "messages": [{"role": "user", "content": "Hello world"}], "temperature": 0.7},
|
||||
)
|
||||
|
||||
assert hash1 == hash2
|
||||
|
||||
# Different content should produce different hash
|
||||
hash3 = normalize_request(
|
||||
"POST",
|
||||
"http://localhost:11434/v1/chat/completions",
|
||||
{},
|
||||
{
|
||||
"model": "llama3.2:3b",
|
||||
"messages": [{"role": "user", "content": "Different message"}],
|
||||
"temperature": 0.7,
|
||||
},
|
||||
)
|
||||
|
||||
assert hash1 != hash3
|
||||
|
||||
def test_request_normalization_edge_cases(self):
|
||||
"""Test request normalization is precise about request content."""
|
||||
# Test that different whitespace produces different hashes (no normalization)
|
||||
hash1 = normalize_request(
|
||||
"POST",
|
||||
"http://test/v1/chat/completions",
|
||||
{},
|
||||
{"messages": [{"role": "user", "content": "Hello world\n\n"}]},
|
||||
)
|
||||
hash2 = normalize_request(
|
||||
"POST", "http://test/v1/chat/completions", {}, {"messages": [{"role": "user", "content": "Hello world"}]}
|
||||
)
|
||||
assert hash1 != hash2 # Different whitespace should produce different hashes
|
||||
|
||||
# Test that different float precision produces different hashes (no rounding)
|
||||
hash3 = normalize_request("POST", "http://test/v1/chat/completions", {}, {"temperature": 0.7000001})
|
||||
hash4 = normalize_request("POST", "http://test/v1/chat/completions", {}, {"temperature": 0.7})
|
||||
assert hash3 != hash4 # Different precision should produce different hashes
|
||||
|
||||
def test_response_storage(self, temp_storage_dir):
|
||||
"""Test the ResponseStorage class."""
|
||||
temp_storage_dir = temp_storage_dir / "test_response_storage"
|
||||
storage = ResponseStorage(temp_storage_dir)
|
||||
|
||||
# Test directory creation
|
||||
assert storage.test_dir.exists()
|
||||
assert storage.responses_dir.exists()
|
||||
assert storage.db_path.exists()
|
||||
|
||||
# Test storing and retrieving a recording
|
||||
request_hash = "test_hash_123"
|
||||
request_data = {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:11434/v1/chat/completions",
|
||||
"endpoint": "/v1/chat/completions",
|
||||
"model": "llama3.2:3b",
|
||||
}
|
||||
response_data = {"body": {"content": "test response"}, "is_streaming": False}
|
||||
|
||||
storage.store_recording(request_hash, request_data, response_data)
|
||||
|
||||
# Verify SQLite record
|
||||
with sqlite3.connect(storage.db_path) as conn:
|
||||
result = conn.execute("SELECT * FROM recordings WHERE request_hash = ?", (request_hash,)).fetchone()
|
||||
|
||||
assert result is not None
|
||||
assert result[0] == request_hash # request_hash
|
||||
assert result[2] == "/v1/chat/completions" # endpoint
|
||||
assert result[3] == "llama3.2:3b" # model
|
||||
|
||||
# Verify file storage and retrieval
|
||||
retrieved = storage.find_recording(request_hash)
|
||||
assert retrieved is not None
|
||||
assert retrieved["request"]["model"] == "llama3.2:3b"
|
||||
assert retrieved["response"]["body"]["content"] == "test response"
|
||||
|
||||
async def test_recording_mode(self, temp_storage_dir, real_openai_chat_response):
|
||||
"""Test that recording mode captures and stores responses."""
|
||||
|
||||
async def mock_create(*args, **kwargs):
|
||||
return real_openai_chat_response
|
||||
|
||||
temp_storage_dir = temp_storage_dir / "test_recording_mode"
|
||||
with patch("openai.resources.chat.completions.AsyncCompletions.create", side_effect=mock_create):
|
||||
with inference_recording(mode=InferenceMode.RECORD, storage_dir=str(temp_storage_dir)):
|
||||
client = AsyncOpenAI(base_url="http://localhost:11434/v1", api_key="test")
|
||||
|
||||
response = await client.chat.completions.create(
|
||||
model="llama3.2:3b",
|
||||
messages=[{"role": "user", "content": "Hello, how are you?"}],
|
||||
temperature=0.7,
|
||||
max_tokens=50,
|
||||
)
|
||||
|
||||
# Verify the response was returned correctly
|
||||
assert response.choices[0].message.content == "Hello! I'm doing well, thank you for asking."
|
||||
|
||||
# Verify recording was stored
|
||||
storage = ResponseStorage(temp_storage_dir)
|
||||
with sqlite3.connect(storage.db_path) as conn:
|
||||
recordings = conn.execute("SELECT COUNT(*) FROM recordings").fetchone()[0]
|
||||
|
||||
assert recordings == 1
|
||||
|
||||
async def test_replay_mode(self, temp_storage_dir, real_openai_chat_response):
|
||||
"""Test that replay mode returns stored responses without making real calls."""
|
||||
|
||||
async def mock_create(*args, **kwargs):
|
||||
return real_openai_chat_response
|
||||
|
||||
temp_storage_dir = temp_storage_dir / "test_replay_mode"
|
||||
# First, record a response
|
||||
with patch("openai.resources.chat.completions.AsyncCompletions.create", side_effect=mock_create):
|
||||
with inference_recording(mode=InferenceMode.RECORD, storage_dir=str(temp_storage_dir)):
|
||||
client = AsyncOpenAI(base_url="http://localhost:11434/v1", api_key="test")
|
||||
|
||||
response = await client.chat.completions.create(
|
||||
model="llama3.2:3b",
|
||||
messages=[{"role": "user", "content": "Hello, how are you?"}],
|
||||
temperature=0.7,
|
||||
max_tokens=50,
|
||||
)
|
||||
|
||||
# Now test replay mode - should not call the original method
|
||||
with patch("openai.resources.chat.completions.AsyncCompletions.create") as mock_create_patch:
|
||||
with inference_recording(mode=InferenceMode.REPLAY, storage_dir=str(temp_storage_dir)):
|
||||
client = AsyncOpenAI(base_url="http://localhost:11434/v1", api_key="test")
|
||||
|
||||
response = await client.chat.completions.create(
|
||||
model="llama3.2:3b",
|
||||
messages=[{"role": "user", "content": "Hello, how are you?"}],
|
||||
temperature=0.7,
|
||||
max_tokens=50,
|
||||
)
|
||||
|
||||
# Verify we got the recorded response
|
||||
assert response.choices[0].message.content == "Hello! I'm doing well, thank you for asking."
|
||||
|
||||
# Verify the original method was NOT called
|
||||
mock_create_patch.assert_not_called()
|
||||
|
||||
async def test_replay_missing_recording(self, temp_storage_dir):
|
||||
"""Test that replay mode fails when no recording is found."""
|
||||
temp_storage_dir = temp_storage_dir / "test_replay_missing_recording"
|
||||
with patch("openai.resources.chat.completions.AsyncCompletions.create"):
|
||||
with inference_recording(mode=InferenceMode.REPLAY, storage_dir=str(temp_storage_dir)):
|
||||
client = AsyncOpenAI(base_url="http://localhost:11434/v1", api_key="test")
|
||||
|
||||
with pytest.raises(RuntimeError, match="No recorded response found"):
|
||||
await client.chat.completions.create(
|
||||
model="llama3.2:3b", messages=[{"role": "user", "content": "This was never recorded"}]
|
||||
)
|
||||
|
||||
async def test_embeddings_recording(self, temp_storage_dir, real_embeddings_response):
|
||||
"""Test recording and replay of embeddings calls."""
|
||||
|
||||
async def mock_create(*args, **kwargs):
|
||||
return real_embeddings_response
|
||||
|
||||
temp_storage_dir = temp_storage_dir / "test_embeddings_recording"
|
||||
# Record
|
||||
with patch("openai.resources.embeddings.AsyncEmbeddings.create", side_effect=mock_create):
|
||||
with inference_recording(mode=InferenceMode.RECORD, storage_dir=str(temp_storage_dir)):
|
||||
client = AsyncOpenAI(base_url="http://localhost:11434/v1", api_key="test")
|
||||
|
||||
response = await client.embeddings.create(
|
||||
model="nomic-embed-text", input=["Hello world", "Test embedding"]
|
||||
)
|
||||
|
||||
assert len(response.data) == 2
|
||||
|
||||
# Replay
|
||||
with patch("openai.resources.embeddings.AsyncEmbeddings.create") as mock_create_patch:
|
||||
with inference_recording(mode=InferenceMode.REPLAY, storage_dir=str(temp_storage_dir)):
|
||||
client = AsyncOpenAI(base_url="http://localhost:11434/v1", api_key="test")
|
||||
|
||||
response = await client.embeddings.create(
|
||||
model="nomic-embed-text", input=["Hello world", "Test embedding"]
|
||||
)
|
||||
|
||||
# Verify we got the recorded response
|
||||
assert len(response.data) == 2
|
||||
assert response.data[0].embedding == [0.1, 0.2, 0.3]
|
||||
|
||||
# Verify original method was not called
|
||||
mock_create_patch.assert_not_called()
|
||||
|
||||
async def test_live_mode(self, real_openai_chat_response):
|
||||
"""Test that live mode passes through to original methods."""
|
||||
|
||||
async def mock_create(*args, **kwargs):
|
||||
return real_openai_chat_response
|
||||
|
||||
with patch("openai.resources.chat.completions.AsyncCompletions.create", side_effect=mock_create):
|
||||
with inference_recording(mode=InferenceMode.LIVE):
|
||||
client = AsyncOpenAI(base_url="http://localhost:11434/v1", api_key="test")
|
||||
|
||||
response = await client.chat.completions.create(
|
||||
model="llama3.2:3b", messages=[{"role": "user", "content": "Hello"}]
|
||||
)
|
||||
|
||||
# Verify the response was returned
|
||||
assert response.choices[0].message.content == "Hello! I'm doing well, thank you for asking."
|
||||
Loading…
Add table
Add a link
Reference in a new issue